/**
 * export/safetensors.ts — export weights to the HF-native `.safetensors` format.
 *
 * Layout (the safetensors spec): an 8-byte little-endian u64 header length, then a
 * JSON header mapping each tensor name → {dtype, shape, data_offsets:[start,end]}
 * (offsets relative to the start of the byte buffer that follows the header), then
 * the concatenated raw tensor bytes. Round-trips losslessly in F32; F16 halves the
 * size. Loadable by `safetensors`, `transformers`, and transformers.js.
 */
import type { EvermindLM } from "../lm/evermind_lm.js";
import { type NamedTensor } from "./tensors.js";
export interface SafetensorsOptions {
    /** Store tensors as float16 (half the size). Default false (float32). */
    fp16?: boolean;
    /** Extra `__metadata__` string entries (e.g. format provenance). */
    metadata?: Record<string, string>;
}
/** Serialise the given named tensors to a `.safetensors` byte buffer. */
export declare function tensorsToSafetensors(tensors: NamedTensor[], opts?: SafetensorsOptions): Uint8Array;
/** Export a trained LM's weights to `.safetensors`. */
export declare function exportSafetensors(lm: EvermindLM, opts?: SafetensorsOptions): Uint8Array;
//# sourceMappingURL=safetensors.d.ts.map